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Marine Biotechnology

, Volume 21, Issue 6, pp 791–805 | Cite as

Transcriptomic Analysis of the Cold-Pretreated Larimichthys crocea Showing Enhanced Growth Fitness in Cold Water

  • Xiaolin Zhang
  • Weiye Li
  • Minhai Liu
  • Xia Zhang
  • Xiaolong Yin
  • Zhijing XuEmail author
  • Jianhua LiuEmail author
Original Article

Abstract

The large yellow croaker Larimichthys crocea is an economically important marine fish species endemic to China and East Asia. Ningde area of Fujian Province is a major L. crocea aquaculture and spawning center in China. L. crocea cultivated at the Zhoushan area appears to be popular but suffered high mortality in cold water during winter seasons. To reduce the mortality rate, we pretreated fish with cold shocks prior to shift to cold water. In this study, we show that cold-pretreated L. crocea 12 days after shift to cold water increase the viability by 5.77-fold compared to the unpretreated (live fish 75 versus 13, p value = 1.775e-06, n = 100). The highest loss of 31 out of 100 fish in the unpretreated group occurred in day 3 after temperature shift. To identify the pretreatment-induced transcriptional changes that may be attributed to cold-resistance and survival, we performed RNA-seq analysis of a total of 48 fish that were prior to and 48 h, 54 h, and 72 h after temperature shift in pretreated and unpretreated groups in sextuplicate. Transcriptomic profiling analysis indicates that pretreatment-induced transcriptional alterations of enzymes involved in FASI, β-oxidation, PUFA synthesis, oxidative phosphorylation, and molecular chaperones persisted after temperature shift, suggesting that these metabolic pathways may play a role in L. crocea cold-resistance and survival. Our study provides insights on how the pretreatment enhances the L. crocea growth fitness in cold water.

Keywords

Cold pretreatment Growth fitness Larimichthys crocea Metabolic pathways Transcriptomic profiling 

Notes

Acknowledgments

The authors would like to thank Miss Fang W. and Mr. Ma Y. for their assistance on data processing.

Funding Information

This work was supported by grants from Zhoushan Municipal Bureau for Science and Technology, China (2016C02055-7-3 and 2018C31091) and from Zhejiang Provincial Bureau for Marine Fisheries, China (ZFA[2016]33).

Compliance with Ethical Standards

This work was approved by the Institutional Animal Care and Use Committee of Zhejiang Ocean University and was performed following the Guidelines on the Care and Use of Animals for Scientific Purposes set by the Institutional Animal Care and Use Committee of Zhejiang Ocean University.

Conflict of Interest

The authors declare that there is no conflict of interest.

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Copyright information

© Springer Science+Business Media, LLC, part of Springer Nature 2019

Authors and Affiliations

  1. 1.National Engineering Research Center for Marine AquacultureZhejiang Ocean UniversityZhoushanChina
  2. 2.Fishery Research Institute of ZhoushanZhoushanChina
  3. 3.School of Marine SciencesNingbo UniversityNingboChina
  4. 4.Zhejiang Huaxing Aquatic Technology Co. Ltd.ZhoushanChina
  5. 5.School of Marine Science and TechnologyZhejiang Ocean UniversityZhoushanChina

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